Triple

T1743921
Position Surface form Disambiguated ID Type / Status
Subject Ernman E38293 entity
Predicate usedBy P260 FINISHED
Object Malena Ernman E5325 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Malena Ernman | Statement: [Ernman, usedBy, Malena Ernman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malena Ernman
Context triple: [Ernman, usedBy, Malena Ernman]
  • A. Malena Ernman chosen
    Malena Ernman is a Swedish opera singer and environmental activist known both for her acclaimed mezzo-soprano career and as the mother of climate activist Greta Thunberg.
  • B. Viveca Lindfors
    Viveca Lindfors was a Swedish-American actress known for her intense, versatile performances in European and Hollywood films and on stage from the 1940s through the late 20th century.
  • C. Ilsa Lund
    Ilsa Lund is the enigmatic former lover of Rick Blaine and the central female protagonist in the classic 1942 film "Casablanca," portrayed by Ingrid Bergman.
  • D. Therese Andersson
    Therese Andersson is known as the wife of former Swedish NHL star goaltender Henrik Lundqvist.
  • E. Nina Foch
    Nina Foch was a Dutch-born American actress known for her poised, often aristocratic roles in classic Hollywood films and for her work as a respected acting teacher.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63e804848190a19c10f4e609e900 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0dbc7c081909d637c5a482389ef completed March 8, 2026, 4:16 p.m.
Created at: March 4, 2026, 7:31 p.m.